Article
Environmental Sciences
Muhammad Shahzaman, Weijun Zhu, Irfan Ullah, Farhan Mustafa, Muhammad Bilal, Shazia Ishfaq, Shazia Nisar, Muhammad Arshad, Rashid Iqbal, Rana Waqar Aslam
Summary: South Asia's heavy reliance on rain-fed agriculture makes the region vulnerable to food scarcity caused by droughts. Recent advancements in models, satellite remote sensing, and reanalysis products have enabled a more thorough investigation into droughts in the region, providing essential insights for addressing deficiencies in agricultural drought monitoring.
Article
Agronomy
M. H. Afshar, B. Bulut, E. Duzenli, M. Amjad, M. T. Yilmaz
Summary: In this study, the consistency between meteorological and soil moisture drought indices was analyzed. The most consistent meteorological drought index with soil moisture drought index was identified as the best representative. The results showed that different meteorological drought indices have varying levels of correlation with soil moisture drought index in different climate and land use conditions. The K-Nearest Neighbor method was found to be the most effective in identifying the most correlated meteorological drought index with soil moisture drought index.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Engineering, Civil
Conrad Wasko, Yawen Shao, Elisabeth Vogel, Louise Wilson, Q. J. Wang, Andrew Frost, Chantal Donnelly
Summary: Changes in the hydrologic cycle have significant impacts on agricultural productivity, water resources availability, and environmental management in Australia. While northern parts of Australia have experienced increasing rainfall and water availability, the southwest and southeast coast have seen declines in rainfall, affecting runoff and soil moisture. Standardised runoff index indicates increasing streamflow droughts across large parts of Australia.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Rafael Magallanes-Quintanar, Carlos E. Galvan-Tejada, Jorge Galvan-Tejada, Santiago de Jesus Mendez-Gallegos, Antonio Garcia-Dominguez, Hamurabi Gamboa-Rosales
Summary: Humanity is dealing with environmental challenges caused by the occurrence and intensity increase of droughts. The use of predictive models, such as Artificial Neural Networks, can be a valuable tool in assessing water scarcity and identifying droughts. This research successfully predicted the monthly Standardized Precipitation Index in four regions of north-central Mexico using Artificial Neural Networks.
Article
Chemistry, Analytical
Irina Ontel, Anisoara Irimescu, George Boldeanu, Denis Mihailescu, Claudiu-Valeriu Angearu, Argentina Nertan, Vasile Craciunescu, Stefan Negreanu
Summary: This study assessed the sensitivity of soil moisture anomaly obtained from SWI product in identifying drought in Romania, and explored the correlations between SMA and other meteorological factors. The results could be utilized for water resource management in drought-prone regions.
Article
Environmental Sciences
Xupeng Sun, Peiyu Lai, Shujing Wang, Lisheng Song, Mingguo Ma, Xujun Han
Summary: In this study, extreme drought events in southwest China were analyzed using the GLDAS root zone soil moisture data set. A Standardized Soil Moisture Drought Index (SSMI) was calculated to quantitatively define and describe the duration, frequency, and severity of drought events in the region. The results showed an apparent upward trend in the frequency and intensity of drought before 2014, followed by a downward trend since 2014. The study also compared the performance of SSMI with other commonly used drought indices, and found that SSMI is more sensitive to drought in southwest China. Furthermore, the GLDAS soil moisture data proved to be useful in studying drought at a small regional scale.
Article
Environmental Sciences
Andrew Watson, Jodie Miller, Annika Kunne, Sven Kralisch
Summary: Droughts are global natural disasters that have significant impacts on water, food, and energy security. This study used a hydrological model to detect agricultural drought and focused on the severe drought in the Berg River catchment in South Africa. It highlighted the importance of understanding drought onset triggers and the need for effective adaptation strategies to combat the long-term effects of climate change.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Chengyun Wang, Jie Chen, Lei Gu, Guiyang Wu, Shanlin Tong, Lihua Xiong, Chong-Yu Xu
Summary: Soil moisture drought is influenced by both water supply and demand. Previous studies have used statistical multiple linear regression, machine learning, and modeling experiments to understand the mechanisms driving soil moisture drought, but these methods fail to consider the collinearity and interactions of climate variables. This study used a path analysis method to quantify the contributions of key drivers to soil moisture drought and revealed the relationships between atmospheric movement state and soil moisture drought. The results showed that precipitation deficits had a dominant effect on interannual variation of soil moisture drought, while increasing potential evapotranspiration only marginally intensified drought. The interactions among precipitation, potential evapotranspiration, and atmospheric vapor movement state were important for understanding drought development mechanisms.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Ye Zhu, Yi Liu, Wen Wang, Vijay P. Singh, Liliang Ren
Summary: This study presents a global view on the propagation of meteorological to soil moisture drought using a copula-based probabilistic model. Results revealed differences in the probability of soil moisture drought under meteorological drought conditions across different regions.
JOURNAL OF HYDROLOGY
(2021)
Article
Chemistry, Analytical
Yi Guo, Naichen Xing, Fuping Gan, Baikun Yan, Juan Bai
Summary: This study quantitatively evaluated the contributions of surface water, soil moisture, and groundwater to terrestrial water storage (TWS) changes in five groundwater resources zones of Inner Mongolia, China. The results showed that TWS increased in one region and decreased in the other four during the study period. Soil moisture was the major contributor to TWS changes in one region, while groundwater was the greatest contributor in the other four regions. Additionally, the role of surface water was notable for calculating regional groundwater storage changes.
Article
Environmental Sciences
Theresa C. van Hateren, Marco Chini, Patrick Matgen, Adriaan J. Teuling
Summary: Long-lasting precipitation deficits or heat waves may lead to agricultural droughts, but vegetation is not always negatively affected during short soil moisture drought events, sometimes even thriving. Using the term agricultural drought instead of soil moisture or vegetation drought could result in misclassification of drought events and false alarms.
Article
Engineering, Civil
Ruiqi Chen, Yi Liu, Ye Zhu, Liliang Ren, Yanping Qu, Jason A. Otkin, Vijay P. Singh
Summary: This study proposes the Normalized Area-Time Accumulation (NATA) curve to describe the evolution characteristics of flash drought. The NATA curve can extract information about the expansion rate of drought area over time and the dominant severity of drought area, and it is promising in analyzing drought characteristics from a three-dimensional perspective. The findings emphasize the significance of incorporating information on drought area expansion with time for an efficient recognition and improved accuracy of rapid drought development in a higher dimension.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Yongwei Liu, Yuanbo Liu, Wen Wang, Han Zhou
Summary: Droughts in Southeastern Asia have been a significant issue, with the study finding that droughts have alleviated in the warm season but intensified in the cold season over the past four decades. This poses challenges for crop growth, with implications for agriculture in the region.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Electrical & Electronic
Mercedes M. Salvia, Nilda Sanchez, Maria Piles, Romina Ruscica, Angel Gonzalez-Zamora, Esteban Roitberg, Jose Martinez-Fernandez
Summary: The study evaluated the performance of the satellite-based soil moisture agricultural drought index (SMADI) for agricultural drought detection in Argentina, comparing it with other indices. SMADI showed the best overall performance and suitability for an early warning system. SSMA had the lowest FPR but also the lowest TPR, making it unsuitable for an alert system. Field precipitation-based indices were not suitable for agricultural drought detection in Argentina.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Yi Liu, Ye Zhu, Liliang Ren, Vijay P. Singh, Shanshui Yuan
Summary: Flash drought refers to a short-duration but impactful drought event. This study analyzed data from China between 1950 and 2021 and found that the flash drought signal gradually attenuates as the time scale increases. Most flash drought events evolve into conventional drought before dissipating completely.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Renxi Chen, Vagner G. Ferreira, Xinhui Li
Summary: Satellite-based video enables vehicle monitoring and tracking for traffic management, but detecting moving vehicles accurately is challenging due to small size and cluttered background. This study proposes a tracklet-feature-based method that utilizes geometric properties of vehicle tracklets to achieve high precision and recall. Experimental results on SkySat and ChangGuang videos demonstrate that this method outperforms classical and deep-learning methods in terms of improving precision while maintaining high recall.
Article
Engineering, Multidisciplinary
Yueqian Shen, Ye Yang, Jundi Jiang, Jinguo Wang, Junjun Huang, Vagner Ferreira, Yanming Chen
Summary: UAV-LiDAR is used to monitor and manage powerline corridors, reducing the need for manual inspection. A novel procedure for segmenting wires from bundle conductors using point cloud data acquired by UAV is proposed. The proposed method outperforms other algorithms in terms of effectiveness and accuracy.
Article
Multidisciplinary Sciences
Johan Rockstroem, Joyeeta Gupta, Dahe Qin, Steven J. Lade, Jesse F. Abrams, Lauren S. Andersen, David I. Armstrong McKay, Xuemei Bai, Govindasamy Bala, Stuart E. Bunn, Daniel Ciobanu, Fabrice DeClerck, Kristie Ebi, Lauren Gifford, Christopher Gordon, Syezlin Hasan, Norichika Kanie, Timothy M. Lenton, Sina Loriani, Diana M. Liverman, Awaz Mohamed, Nebojsa Nakicenovic, David Obura, Daniel Ospina, Klaudia Prodani, Crelis Rammelt, Boris Sakschewski, Joeri Scholtens, Ben Stewart-Koster, Thejna Tharammal, Detlef van Vuuren, Peter H. Verburg, Ricarda Winkelmann, Caroline Zimm, Elena M. Bennett, Stefan Bringezu, Wendy Broadgate, Pamela A. Green, Lei Huang, Lisa Jacobson, Christopher Ndehedehe, Simona Pedde, Juan Rocha, Marten Scheffer, Lena Schulte-Uebbing, Wim de Vries, Cunde Xiao, Chi Xu, Xinwu Xu, Noelia Zafra-Calvo, Xin Zhang
Summary: The stability and resilience of the Earth system and human well-being are closely linked but often treated independently. This study proposes safe and just Earth system boundaries to maintain stability and minimize harm to humans from Earth system change. Findings show that justice considerations have a greater impact on setting boundaries than safety considerations.
Article
Geochemistry & Geophysics
Xuezhen Li, Zhetao Zhang, Yuan Li, Xiaomin Luo, Vagner G. Ferreira
Summary: In this study, a priori and effective estimation of variance factors based on the code chipping rate is proposed to adjust and determine the observation weights in the BeiDou Navigation Satellite System (BDS). The method improves the characterization of observation precision and simplifies calculation. Static and kinematic experiments verify its effectiveness, showing improved accuracy and reliability of single point positioning in both open and obstructed environments with high efficiency.
STUDIA GEOPHYSICA ET GEODAETICA
(2023)
Article
Environmental Sciences
Oluwafemi E. Adeyeri, Wen Zhou, Patrick Laux, Christopher E. Ndehedehe, Xuan Wang, Muhammad Usman, Akintomide A. Akinsanola
Summary: This study investigates the multimodel global drought monitoring, propagation, and projection using a multivariate standardized drought index (MSDI) during past and future periods. The multivariate bias correction method outperforms other techniques in correcting biases in the models. The study also identifies distinct categories for droughts in different regions and projects changes in drought characteristics for the future.
Article
Multidisciplinary Sciences
Vagner Ferreira, Bin Yong, Henry Montecino, Christopher E. E. Ndehedehe, Kurt Seitz, Hansjoerg Kutterer, Kun Yang
Summary: The availability and use of terrestrial water storage anomaly (TWSA) data from Gravity Recovery and Climate Experiment (GRACE) supports various hydrological applications. There are currently five operational TWSA products, three based on mass concentration (mascon) solutions and two based on spherical harmonic coefficients (SHCs) synthesis. This study presents a new TWSA data set based on novel processing protocols, with a spatial re-sampling of 0.25 arc-degrees from 2002 to 2022, which reliably agrees with mascon solutions. The proposed data set would be valuable for regional hydrological applications, particularly for improved assessment of regional water budgets.
Article
Water Resources
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, Aniekan E. Eyoh, Vagner G. Ferreira
Summary: In this study, a novel machine learning routine based on Gaussian process regression (GPR) technique was developed to improve understanding of the interaction between non-linear climatic variables and hydrological stores in the Zambezi River Basin. The results showed that the large fluctuations in terrestrial water storage (TWS) in the basin were mainly caused by changes in sea surface temperature and global teleconnection patterns. The GPR model introduced in this study provides an improved framework for tracking the influence of these global climate teleconnection patterns on major hydrological systems.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Water Resources
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, Aniekan E. Eyoh, Vagner G. Ferreira
Summary: This study investigates the use of a convolution-based support vector machine in hydrological analysis to optimize the forecast of terrestrial water storage anomalies in the Congo River basin. The results show that the polynomial kernel-based convolution support vector machine outperformed other regression models in reconstructing the various variants of terrestrial water storage anomalies.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Biodiversity Conservation
Pankaj R. Kaushik, Christopher E. Ndehedehe, Ryan M. Burrows, Mark R. Noll, Mark J. Kennard
Summary: The Great Artesian Basin in Australia is experiencing a decline in its spring wetlands due to groundwater extraction and variation. Satellite observations can help understand the response of spring wetlands to groundwater storage variation. This study found that NDVI and SMS are the most significant factors influencing groundwater storage variation in the basin.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Mohammad J. Tourian, Peyman Saemian, Vagner G. Ferreira, Nico Sneeuw, Frederic Frappart, Fabrice Papa
Summary: The GRACE and GRACE-FO satellite missions provide a new observation type for various Earth science disciplines. However, the coarse spatial resolution of GRACE data limits its application to large catchments. This study proposes a method to downscale the GRACE-derived Terrestrial Water Storage Flux (TWSF) by incorporating finer-resolution data. The results show that the proposed method can estimate a downscaled TWSF, which performs better than the fine-scale TWSF and shows potential for hydrological applications at regional and local scales.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Junjun Huang, Yueqian Shen, Jinguo Wang, Vagner Ferreira
Summary: We propose a method for extracting pylons from point clouds collected by UAV LiDAR systems, which combines a random forest classifier with smoothed color features. This method overcomes the challenges of complex environments with nearby objects and vegetation, achieving accurate and efficient pylon classification.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Green & Sustainable Science & Technology
Ben Stewart-Koster, Stuart E. Bunn, Pamela Green, Christopher Ndehedehe, Lauren S. Andersen, David I. Armstrong McKay, Xuemei Bai, Fabrice DeClerck, Kristie L. Ebi, Christopher Gordon, Joyeeta Gupta, Syezlin Hasan, Lisa Jacobson, Steven J. Lade, Diana Liverman, Sina Loriani, Awaz Mohamed, Nebojsa Nakicenovic, David Obura, Dahe Qin, Crelis Rammelt, Juan C. Rocha, Johan Rockstroem, Peter H. Verburg, Caroline Zimm
Summary: This study assesses whether renewable surface water is enough to meet people's basic needs and estimates that approximately 2.6 billion people live in river basins where groundwater is needed, while over 1.4 billion people would require demand-side transformations and another 1.5 billion people would require both supply and demand-side transformations. These findings highlight the challenges and opportunities of meeting basic water access needs and protecting aquatic ecosystems.
NATURE SUSTAINABILITY
(2023)
Article
Environmental Sciences
Qing He, Hok Sum Fok, Vagner Ferreira, Robert Tenzer, Zhongtian Ma, Hao Zhou
Summary: This study applies a three-dimensional Budyko framework to investigate water-energy dynamics in the Indo-China Peninsula, revealing the significant impact of terrestrial water storage and vegetation covers on the framework. Additionally, the Silk Road Pattern is identified as the most influential climate teleconnection affecting hydroclimatic conditions in the region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)